| GraphQNTK: Quantum Neural Tangent Kernel for Graph Data Y Tang, J Yan (NeurIPS 2022) Advances in Neural Information Processing Systems 35, 6104-6118, 2022 | 8 | 2022 |
| Recent progress and perspectives on quantum computing for finance Y Tang, J Yan, G Hu, B Zhang, J Zhou Service Oriented Computing and Applications 16 (4), 227-229, 2022 | 7 | 2022 |
| Towards a native quantum paradigm for graph representation learning: A sampling-based recurrent embedding approach G Yan, Y Tang, J Yan (SIGKDD 2022) Conference on Knowledge Discovery and Data Mining, 2160-2168, 2022 | 4 | 2022 |
| From quantum graph computing to quantum graph learning: A survey Y Tang, J Yan, H Edwin arXiv preprint arXiv:2202.09506, 2022 | 3 | 2022 |
| Quantum-Inspired Tensorized Embedding with Application to Node Representation Learning H Xiong, Y Tang, W Tan, Y He, J Yan | 1 | 2022 |
| Towards LLM4QPE: Unsupervised Pretraining of Quantum Property Estimation and A Benchmark Y Tang, H Xiong, N Yang, T Xiao, J Yan (ICLR 2024) International Conference on Learning Representations, 2024 | | 2024 |
| Efficient Network Embedding in the Exponentially Large Quantum Hilbert Space: A High-Dimensional Perspective on Embedding H Xiong, Y Tang, Y He, W Tan, J Yan (ICLR 2024) International Conference on Learning Representations, 2024 | | 2024 |
| SSL4Q: Semi-Supervised Learning of Quantum Data with Application to Quantum State Classification Y Tang, N Yang, M Long, J Yan (ICML 2024) International Conference on Machine Learning, 2024 | | 2024 |
| Circuit Design and Efficient Simulation of Quantum Inner Product and Empirical Studies of Its Effect on Near-Term Hybrid Quantum-Classic Machine Learning H Xiong, Y Tang, X Ye, J Yan (CVPR 2024) IEEE Conference on Computer Vision and Pattern Recognition …, 2024 | | 2024 |
Junchi YanFIET & Prof., Shanghai Jiao Tong University (2018-), RSM of IBM Research (2011-2018)在 cs.sjtu.edu.cn 的电子邮件经过验证
